Zhou Zhang
Orcid: 0000-0001-7816-672XAffiliations:
- University of Wisconsin-Madison, Madison, WI, USA
- University of California, Davis, CA, US (former)
According to our database1,
Zhou Zhang
authored at least 39 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Utilization of Synthetic Near-Infrared Spectra via Generative Adversarial Network to Improve Wood Stiffness Prediction.
Sensors, March, 2024
Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring.
Remote. Sens., March, 2024
Spatial-Spectral Similarity Based on Adaptive Region for Landslide Inventory Mapping With Remote-Sensed Images.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Mixed land use measurement and mapping with street view images and spatial context-aware prompts via zero-shot multimodal learning.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023
An improved fusion of Landsat-7/8, Sentinel-2, and Sentinel-1 data for monitoring alfalfa: Implications for crop remote sensing.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023
Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach.
Remote. Sens., September, 2023
Potato Leaf Area Index Estimation Using Multi-Sensor Unmanned Aerial Vehicle (UAV) Imagery and Machine Learning.
Remote. Sens., August, 2023
Comput. Electron. Agric., August, 2023
Per-pixel accuracy as a weighting criterion for combining ensemble of extreme learning machine classifiers for satellite image classification.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
Multisource Maximum Predictor Discrepancy for Unsupervised Domain Adaptation on Corn Yield Prediction.
IEEE Trans. Geosci. Remote. Sens., 2023
Learning county from pixels: Corn yield prediction with attention-weighted multiple instance learning.
CoRR, 2023
Toward Field Level Drought and Irrigation Monitoring Using Machine Learning Based High-Resolution Soil Moisture (ML-HRSM) Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Estimation of Maize Yield and Flowering Time Using Multi-Temporal UAV-Based Hyperspectral Data.
Remote. Sens., 2022
Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield.
Remote. Sens., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
IntegrateNet: A Deep Learning Network for Maize Stand Counting From UAV Imagery by Integrating Density and Local Count Maps.
IEEE Geosci. Remote. Sens. Lett., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression.
CoRR, 2022
Application of machine-learned metadata-driven model for dairy barn ventilation simulation.
Comput. Electron. Agric., 2022
2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A new attention-based CNN approach for crop mapping using time series Sentinel-2 images.
Comput. Electron. Agric., 2021
Comput. Electron. Agric., 2021
2020
An Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020
Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.
Sensors, 2020
Remote. Sens., 2020
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States.
Remote. Sens., 2020
Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning.
Remote. Sens., 2020
2019
Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection.
Remote. Sens., 2019
2018
Boresight Calibration of GNSS/INS-Assisted Push-Broom Hyperspectral Scanners on UAV Platforms.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
A Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2017
Prediction of sorghum biomass based on image based features derived from time series of UAV images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery.
Remote. Sens., 2016
IEEE Geosci. Remote. Sens. Lett., 2016
A regularized multi-metric active learning framework for hyperspectral image classification.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Semi-supervised multi-metric active learning for classification of hyperspectral images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
An ensemble active learning approach for spectral-spatial classification of hyperspectral images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2013
Neural Comput. Appl., 2013